Prediction of LncRNA Subcellular Localization with Deep Learning from Sequence Features.

ABSTRACT: Long non-coding RNAs are involved in biological processes throughout the cell including the nucleus, chromatin and cytosol. However, most lncRNAs remain unannotated and functional annotation of lncRNAs is difficult due to their low conservation and their tissue and developmentally specific expression. LncRNA subcellular localization is highly informative regarding its biological function, although it is difficult to discover because few prediction methods currently exist. While protein subcellular localization prediction is a well-established research field, lncRNA localization prediction is a novel research problem. We developed DeepLncRNA, a deep learning algorithm which predicts lncRNA subcellular localization directly from lncRNA transcript sequences. We analyzed 93 strand-specific RNA

SUBMITTER: Gudenas BL 

PROVIDER: S-EPMC6219567 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature